Building agent teams using an explicit teamwork model and learning
Artificial Intelligence - Special issue on Robocop: the first step
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Introduction to the Special Issue on Adaptive WorkflowSystems
Computer Supported Cooperative Work
Using ODML to Model Multi-Agent Organizations
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Goal decomposition tree: an agent model to generate a validated agent behaviour
DALT'05 Proceedings of the Third international conference on Declarative Agent Languages and Technologies
AML: agent modeling language toward industry-grade agent-based modeling
AOSE'04 Proceedings of the 5th international conference on Agent-Oriented Software Engineering
Modeling social aspects of multi-agent systems: the AML approach
AOSE'05 Proceedings of the 6th international conference on Agent-Oriented Software Engineering
Anticipatory Alignment Mechanisms for Behavioral Learning in Multi Agent Systems
Anticipatory Behavior in Adaptive Learning Systems
Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Default interactions for multi-agent simulations of complex organizations
Proceedings of the International Workshop on Enterprises & Organizational Modeling and Simulation
Discovery and analysis of e-mail-driven business processes
Information Systems
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Interaction refers to an abstract and intangible concept. In modelling, intangible concepts can be embodied and made explicit. This allows to manipulate the abstractions and to build predictable designs. Business processes in organisations are in fact reducible to interactions, especially when agent-oriented modelling methods are employed. Business processes represented as interaction structures can appear at different levels of abstraction. There is a compositional coupling between these levels, and this necessitates a method that allows dynamic de/re-composition of hierarchically organised interactions. We introduce the novel concepts that allow interaction-based diagramming and explain the syntax and semantics of these constructs. Finally, we argue that a business process composition with interactions allows more organisational flexibility and agent autonomy, providing a better approach in complex and dynamic situations than current solutions.